Triple
T15431398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fokker 70 |
E369648
|
entity |
| Predicate | ICAOTypeDesignator |
P16898
|
FINISHED |
| Object |
F70
F70 is the ICAO type designator for the Fokker 70, a twin-engine regional jet airliner developed by the Dutch manufacturer Fokker.
|
E1156394
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: F70 | Statement: [Fokker 70, ICAOTypeDesignator, F70]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F70 Context triple: [Fokker 70, ICAOTypeDesignator, F70]
-
A.
E70
E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
-
B.
E70
E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
-
C.
F 7
F 7 is a wing of the Swedish Air Force known for operating and training on advanced combat aircraft.
-
D.
F-7
The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
-
E.
J70
The J70 is a long-running generation of the Toyota Land Cruiser renowned for its rugged body-on-frame construction, off-road durability, and continued use in demanding commercial and remote-area applications worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: F70 Triple: [Fokker 70, ICAOTypeDesignator, F70]
Generated description
F70 is the ICAO type designator for the Fokker 70, a twin-engine regional jet airliner developed by the Dutch manufacturer Fokker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F70 Target entity description: F70 is the ICAO type designator for the Fokker 70, a twin-engine regional jet airliner developed by the Dutch manufacturer Fokker.
-
A.
E70
E70 is BMW's internal model designation for the second-generation X5 mid-size luxury SUV produced from 2006 to 2013.
-
B.
E70
E70 is a Nokia Eseries smartphone known for its fold-out full QWERTY keyboard and business-oriented features.
-
C.
F 7
F 7 is a wing of the Swedish Air Force known for operating and training on advanced combat aircraft.
-
D.
F-7
The F-7 was a heavy-duty model in Ford’s first postwar “Bonus-Built” truck lineup, positioned above the light-duty F-1 and mid-range F-2/F-3 models.
-
E.
J70
The J70 is a long-running generation of the Toyota Land Cruiser renowned for its rugged body-on-frame construction, off-road durability, and continued use in demanding commercial and remote-area applications worldwide.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ed8ea888190bff8dc14859cca31 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8546948190a69ae1306bc19c64 |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1bd48e548190b6b38507e8d1a1c8 |
completed | May 9, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1c51d84c8190bb039c029b7efdbe |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 10, 2026, 3:21 a.m.